Measurement apparatus

Abstract

A measurement apparatus comprising at least one device interface adapted to connect an auxiliary measurement device and/or a device under test, DUT, to said measurement apparatus; a user interface adapted to input by a user settings for performing a measurement by said measurement apparatus and an artificial intelligence, AI, module adapted to provide current settings of said measurement apparatus, wherein said artificial intelligence, AI, module is machine learned on the basis of connected devices and/or settings during historic measurements performed by said measurement apparatus.

The invention claimed is: 
     
       1. A measurement apparatus adapted to perform measurements in relation to at least one device under test, DUT, in test sequences using measurement settings, said measurement apparatus comprising:
 at least one device under test interface to which the device under test, DUT, is connected; 
 a user interface adapted to input by a user settings for performing a measurement by said measurement apparatus in relation to the at least one connected device under test, DUT; and 
 an artificial intelligence, AI, module adapted to provide current settings of said measurement apparatus, wherein said artificial intelligence, AI, module is machine learned on the basis of connected devices and/or settings during historic measurements performed by said measurement apparatus, wherein the trained machine learned artificial intelligence module is adapted to provide an output applied to an internal control unit of said measurement apparatus to provide the current settings to control measurement functions of said measurement apparatus. 
 
     
     
       2. The measurement apparatus according to  claim 1  wherein the machine learned artificial intelligence, AI, module comprises at least one artificial neural network. 
     
     
       3. The measurement apparatus according to  claim 2  wherein the artificial intelligence, AI, module comprises:
 a first artificial network trained on the basis of the measurement usage history and a second artificial network trained on a recorded behavior of a user identified by a user identification module of said measurement apparatus, wherein an output of the two trained artificial neural networks is combined to provide a result applied to the internal control unit of said measurement apparatus triggering matching measurement settings of the measurement apparatus. 
 
     
     
       4. The measurement apparatus according to  claim 1  wherein the machine learned artificial intelligence, AI, module provides the current settings to control measurement functions of said measurement apparatus automatically when the measurement apparatus is switched on or is booted up. 
     
     
       5. The measurement apparatus according to  claim 1  wherein the artificial intelligence, AI, module is machine learned on the basis of its recorded measurement usage history in a separate machine learning process. 
     
     
       6. The measurement apparatus according to  claim 3  wherein the user identification module is adapted to identify a user on the basis of the measurement usage history and/or on the basis of a user identification input into the user interface of said measurement apparatus or by biometric user identification means. 
     
     
       7. The measurement apparatus according to  claim 1  wherein a measurement usage history including connected devices and settings of measurements performed by said measurement apparatus in relation to the at least one device under test, DUT, is recorded over time in a local memory of said measurement apparatus and/or in a remote database. 
     
     
       8. The measurement apparatus according to  claim 1  wherein the settings input by the user via said user interface comprise measurement parameter settings and/or measurement mode settings. 
     
     
       9. The measurement apparatus according to  claim 1  further comprising at least one auxiliary measurement device interface to which an auxiliary measurement device is connected to provide sensor data and/or localization data to said measurement apparatus. 
     
     
       10. The measurement apparatus according to  claim 9  wherein the auxiliary measurement device comprises:
 a localization device adapted to provide localization data to said measurement apparatus, wherein the localization data indicates a current position of the measurement apparatus in the field, or comprises 
 a sensor device adapted to provide sensor data to said measurement apparatus. 
 
     
     
       11. The measurement apparatus according to  claim 1  wherein the machine learned artificial intelligence, AI, module is adapted to prompt the user via the user interface of said measurement apparatus about available software options to perform the current measurement by said measurement apparatus. 
     
     
       12. The measurement apparatus according to  claim 1  wherein the measurement apparatus comprises:
 a mobile handheld measurement apparatus for performing measurements in the field in an outdoor environment; or 
 a stationary measurement apparatus for performing measurements in an indoor environment. 
 
     
     
       13. A measurement system comprising:
 at least one measurement apparatus adapted to perform measurements in relation to at least one device under test, DUT, in test sequences using measurement settings, 
 said measurement apparatus having at least one device under test interface to which the device under test, DUT, is connected, 
 a user interface adapted to input by a user settings for performing a measurement by said measurement apparatus in relation to the at least one device under test, DUT, and 
 an artificial intelligence, AI, module adapted to provide current settings of said measurement apparatus, 
 wherein said artificial intelligence, AI, module of said measurement apparatus is machine learned on the basis of connected devices and/or settings during historic measurements performed by said measurement apparatus, 
 wherein said measurement system further comprises a database adapted to store the measurement usage history of the measurement apparatus. 
 
     
     
       14. The measurement system according to  claim 13  wherein the device under test, DUT, comprises a printed circuit board of a machine under test. 
     
     
       15. A method for performing a configuration of a measurement apparatus adapted to perform measurements in relation to at least one device under test, DUT, in test sequences using measurement settings, said measurement apparatus having at least one device under test interface to which the device under test, DUT, is connected, the method comprising the steps of:
 recording a measurement usage history of said measurement apparatus in a local memory of said measurement apparatus or in a remote database, wherein the recorded measurement usage history includes devices connected to said measurement apparatus and/or settings of measurements performed by said measurement apparatus during historic measurements; 
 machine learning an artificial intelligence, AI, module of said measurement apparatus on the basis of the recorded measurement usage history of said measurement apparatus; 
 generating automatically the settings of said measurement apparatus by said machine learned artificial intelligence, AI, module when the measurement apparatus is activated.